Introduction to Transformer Models for NLP

Coursera MOOC / Non-credit USD 49

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Introduction to Transformer Models for NLP

About this course

This course provides practical instruction on transformer architectures such as BERT, GPT, and T5. You will learn about attention mechanisms, transfer learning, and model fine-tuning through coding exercises and case studies. By the end, you will be able to build and optimize NLP models for various applications.

What you'll learn

Understand transformer architectures
Implement attention mechanisms
Apply transfer learning techniques
Perform model fine-tuning
Develop NLP models

Course objectives

To provide practical instruction on transformer architectures
To facilitate hands-on coding exercises to solidify learning

Skills you'll gain

machine learning transfer learning nlp gpt model fine-tuning bert t5 coding exercises transformer models attention mechanisms

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